SkyLLH
  • Tutorials
/
  • v20_11_02
  • v21_10_20
  • v22_04_28
  • v22_04_28a
  • v23.0.0
  • v23.1.0
  • v23.1.1
  • v23.2.0
  • v23.2.1
  • v23.2.1.rc1
  • v24.1.0
  • v24.1.1a
  • v26.0.0
  • master
  • coords
  • dm
  • drop_dsname_backward_compatibility
  • fix169_fix203
  • fix230
  • llh_module
  • refactor/pyright
  • refactor_sensitivity
  • rust
  • signal_gen_method
  • stack_public

Getting started

  • Installation
  • Tutorials
    • Fitting a steady point-source with the public 14-year IceCube track data
    • Dataset collections
    • Fixing the Spectral Index
    • Setting an energy range for the signal injection
    • Sky scan
    • Likelihood scan
    • Significance/p-value calculation
    • Sensitivity and discovery potential
    • Time dependent analysis
  • Examples
    • Multiprocessing
    • Data scrambling
    • Signal time PDF creation
  • Concepts
    • Configuration
    • Dataset Definition
    • Loading data fields from data files
    • Source Definition
    • Flux Definition
    • Parameter Definition
    • PDFs
    • Detector Signal Yield
  • Frequently Asked Questions (FAQ)
  • Contributing

Development

  • Logging
  • Unit tests
  • API Reference
    • skyllh package
      • skyllh.analyses package
        • skyllh.analyses.i3 package
      • skyllh.core package
        • skyllh.core.minimizers package
        • skyllh.core.utils package
      • skyllh.datasets package
        • skyllh.datasets.i3 package
      • skyllh.i3 package
        • skyllh.i3.utils package
      • skyllh.plotting package
        • skyllh.plotting.core package
        • skyllh.plotting.i3 package
        • skyllh.plotting.utils package
      • skyllh.scripting package
  1. SkyLLH /
  2. Examples

ExamplesΒΆ

  • Multiprocessing
  • Data scrambling
  • Signal time PDF creation
Previous
Time dependent analysis
Next
Multiprocessing

2026, The IceCube Collaboration, C. Bellenghi, T. Kontrimas, M. Wolf

Made with Sphinx and Shibuya theme.